Inside the Role
Inside the Role
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Lead Architect / Senior Full Stack Developer who will serve as the technical owner of the CHEC platform architecture and be accountable for overall system quality. In addition to defining frontend, backend, and Azure architecture, you will lead and govern the Automation QA strategy, ensuring CHEC meets reliability, safety, and auditability expectations for a mission-critical configuration tool. As the technical leader of this team, you will also own our AI-augmented development strategy - defining how the team leverages AI coding assistants, establishing prompt engineering standards, and ensuring AI-generated code meets the same rigorous quality bar as human-written code.
Posting Information
We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.
We Take Care of Our Team
Position offers a starting salary range of $117,000 – $150,000 USD
Pay offered dependent on knowledge, skills, andexperience.
Benefits include annual bonus program; 401kcompany contribution with company match up to6% as well as non-elective company contribution of3 - 7% depending on age;starting at 4 weeks paidvacation; 13+ calendar holidays; 8 weeks paidparental leave; employee assistance program;comprehensive healthcare plans and wellnessprograms; onsite fitness (at some locations); tuitionassistance and volunteer paid time off; short-termand long-term disability plans.
What You Drive at DTNA
- Own and govern CHEC's end-to-end technical architecture (React frontend, .NET APIs, backend services, data layers)
- Serve as technical authority across full-stack development and cloud infrastructure
- Define and enforce engineering standards, patterns, and best practices, including guidelines for responsible AI-assisted development
- Lead the Automation QA effort, including test strategy and tooling selection, definition of automated test coverage (UI, API, integration), and quality gates in CI/CD pipelines
- Architect and review Azure-hosted services with focus on security, observability, and scalability
- Partner with UX, Product Owners, and Application Engineering on roadmap execution
- Mentor senior and junior developers; provide technical reviews, coaching, and guidance on effective use of AI coding assistants
- Ensure traceability, auditability, and strong validation for configuration changes (safety-relevant domain)
- Define and lead the team's AI-augmented development strategy, including tooling selection (Claude Code, GitHub Copilot, Cursor) and workflow integration
- Establish prompt engineering standards and best practices for AI-assisted code generation, testing, and architecture documentation
- Evaluate AI-generated code for quality, security, and compliance with safety-relevant domain requirements
- Continuously evaluate emerging AI tools and techniques for applicability to the CHEC platform
Knowledge You Should Bring
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 810+ years software engineering experience
- Proven technical leadership / architect experience
- Strong full-stack expertise (React/TypeScript frontend, .NET/C# backend) and hands-on QA automation leadership
- Experience with system design and architectural patterns (microservices, event-driven, domain-driven design)
- Database and data layer expertise (SQL Server, Cosmos DB, Entity Framework)
- Security architecture knowledge (OWASP, authentication/authorization patterns)
- API design standards (REST, versioning, contract-first design)
- Experience with Microsoft Azure cloud services, GitHub, and CI/CD pipelines
- Demonstrated experience defining and leading AI-augmented development practices across a team
- Proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) and prompt engineering for code generation, testing, and documentation
- Ability to evaluate AI-generated outputs critically, particularly in safety-relevant and high-auditability contexts
Exceptional Candidates Might Have
- Experience in enterprise or safety-relevant systems
- Infrastructure-as-code or DevOps pipeline design experience (Terraform, Bicep, ARM templates)
- Performance engineering at scale (profiling, load testing, optimization)
- Experience integrating LLM APIs into applications
- Track record of using AI tools to measurably accelerate team delivery
- Familiarity with AI evaluation and testing frameworks
#LI-DC1
#LI-HYBRID
Where We Work
This position is open to applicants who can work in (or relocate to) the following location(s)-
Fort Mill, SC US, Portland, OR US. Relocation assistance is not available for this position.
Schedule Type:
Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.
